X-ray Structure-Based Chemoinformatic Analysis Identifies Promiscuous Ligands Binding to Proteins from Different Classes with Varying Shapes.

activity data binding modes complex X-ray structures multitarget activity promiscuity protein classes shape similarity small molecules

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
27 May 2020
Historique:
received: 30 04 2020
revised: 18 05 2020
accepted: 24 05 2020
entrez: 31 5 2020
pubmed: 31 5 2020
medline: 13 2 2021
Statut: epublish

Résumé

(1) Background: Compounds with multitarget activity are of interest in basic research to explore molecular foundations of promiscuous binding and in drug discovery as agents eliciting polypharmacological effects. Our study has aimed to systematically identify compounds that form complexes with proteins from distinct classes and compare their bioactive conformations and molecular properties. (2) Methods: A large-scale computational investigation was carried out that combined the analysis of complex X-ray structures, ligand binding modes, compound activity data, and various molecular properties. (3) Results: A total of 515 ligands with multitarget activity were identified that included 70 organic compounds binding to proteins from different classes. These multiclass ligands (MCLs) were often flexible and surprisingly hydrophilic. Moreover, they displayed a wide spectrum of binding modes. In different target structure environments, binding shapes of MCLs were often similar, but also distinct. (4) Conclusions: Combined structural and activity data analysis identified compounds with activity against proteins with distinct structures and functions. MCLs were found to have greatly varying shape similarity when binding to different protein classes. Hence, there were no apparent canonical binding shapes indicating multitarget activity. Rather, conformational versatility characterized MCL binding.

Identifiants

pubmed: 32471121
pii: ijms21113782
doi: 10.3390/ijms21113782
pmc: PMC7312685
pii:
doi:

Substances chimiques

Ligands 0
Lipids 0
Proteins 0
Kanamycin 59-01-8
Indomethacin XXE1CET956

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Christian Feldmann (C)

Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Endenicher Allee 19c, D-53115 Bonn, Germany.

Jürgen Bajorath (J)

Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Endenicher Allee 19c, D-53115 Bonn, Germany.

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Classifications MeSH